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Volumn 41, Issue 6, 1995, Pages 1471-1480

Reducing data dimensionality through optimizing neural network inputs

Author keywords

[No Author keywords available]

Indexed keywords

CONFORMAL MAPPING; DATA STRUCTURES; LEARNING SYSTEMS; MATHEMATICAL MODELS; NEURAL NETWORKS; PROCESS CONTROL; PROCESS ENGINEERING;

EID: 0029322882     PISSN: 00011541     EISSN: 15475905     Source Type: Journal    
DOI: 10.1002/aic.690410612     Document Type: Article
Times cited : (174)

References (19)
  • 4
    • 84987447744 scopus 로고
    • “Learning Internal Representations from Gray‐Scale Images: An Example of Extensional Programming,” Proc. Conf. Cognitive Sci. Soc., p.
    • (1987) , pp. 461
    • Cottrel, G.W.1    Munro, P.2    Zipser, D.3
  • 6
    • 84987407740 scopus 로고
    • “Nonlinear Principal Component Analysis Based on Principal Curves and Neural Networks,” Comput. Chem. Eng., submitted
    • (1994)
    • Dong, D.1    McAvoy, T.J.2
  • 10
    • 0026113980 scopus 로고
    • Nonlinear Principal Component Analysis Using Autoassociative Neural Networks
    • (1991) AIChE J. , vol.37 , pp. 233
    • Kramer, M.A.1
  • 12
    • 84987422983 scopus 로고
    • “Multivariate Statistical Methods for Monitoring Large Data Sets from Chemical Processes,” paper 164a, AIChE Meeting, San Francisco
    • (1989)
    • MacGregor, J.1
  • 19
    • 84987435309 scopus 로고
    • “Upset and Sensor Failure Detection in Multivariate Processes,” paper 164b, AIChE Meeting, San Francisco
    • (1989)
    • Wise, B.M.1    Ricker, N.L.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.